Archive for May 2022
Improve your win rates by 117% by spotting these slippage red flags
easily identify the telltale signs of risk that an opportunity is going to slip. Equipped with this knowledge, sales teams can then be proactive to salvage these opportunities, close them faster and improve win rates.
Read MoreBuilding Revenue Operations Infrastructure with Michael Boardman, Director of Revenue Operations at Castellan Solutions
Michael Boardman, Director of Revenue Operations at Castellan Solutions, joins us in the next episode of The Revenue Insights podcast to discuss the role of RevOps in setting up an efficient infrastructure for scaling and achieving the business goals.
Read MoreTurn insight into action with Pipeline Insights
Pipeline Insights give you complete pipeline visibility so you can identify deals at risk before it’s too late.
Read MoreThe top 8 benefits of using CRM
Learn what a CRM is, why it is important and the top 8 benefits which will take your pipeline management to the next level.
Read MoreEliminating Operational Silos and Increasing Business Efficiency Through RevOps with Jason Reichl, CRO at TrustLayer
Jason Reichl, CRO at TrustLayer, joins us in the next episode of The Revenue Insights podcast to discuss the role of CROs in elevating RevOps within their go-to-market team and why eliminating the silo model will make your business more efficient and successful.
Read MoreTraditional forecasting is dead! Why predictive forecasting is the future
Learn why you need to ditch your outdated sales forecasting model and how predictive forecasting will improve your forecasting accuracy today.
Read MoreThe Transition from RevOps Demystified to Revenue Insights Podcast with Tom Hunt, Founder of Fame and RevOps Demystified Podcast Host
Former host, Tom Hunt, shares insights, highlights, and takeaways from Tom’s favourite episodes, Tom’s top three guests and picks from the 200+ episodes, and a special announcement.
Read More4 Dirty Data Types: How To Clean Your CRM
Learn why updating your CRM is valuable, problematic data types, ways to clean up dirty data and the benefits of a clean data and hygienic CRM.
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